Whether you are planning to drive digital transformation or have a business idea to foster, the one question that might be constantly striking your mind is what programming language you should consider to bring your idea to life. Though there is a multitude of programming languages available for development, Python is one such language that has gained immense popularity in the last few years. In fact, Python grabbed the third position in the list of the most commonly used programming languages. Furthermore, Python managed to grab the first position in the TIOBE Index for September 2022.

The reason behind the surging popularity of Python is that it offers a full suite of tools, libraries, and frameworks to programmers for scripting, task automation, web development, and data science including data visualization, data analysis, and AI/ML development. In other words, this high-level programming language enables a Python development company to engineer solutions that solve real-world problems. This could be the reason why enterprises both large and small alike are investing heavily in it to develop future-proof business solutions. Now, let’s dive deep into the reasons that make Python the future of programming languages.

1) Easy to Read and Use

The success of a programming language depends upon its syntax, code readability, and learning curve. Python comes with a simplified syntax that closely resembles English and puts more emphasis on the natural language. It uses easy-to-understand codes that facilitate Python programmers to quickly interpret the code when required. It has a short learning curve, which makes it a coveted choice among newbies in the development realm. Owing to its ease of learning and usage, Python codes are not only simple to write but can also be executed much faster. Furthermore, Python abides by the “whitespace rule,” which makes the code look clean and less overwhelming to the programmer’s eye. This indicates that Python is poised to outrank other programming languages.


2) Widely Used in Data Science

Whichever industry you belong to, data will remain crucial to derive meaningful insights and make actionable business decisions to outwit the competition. According to several reports, global data creation is estimated to surpass 180 zettabytes by 2025. The exponential growth in data has made the Data Science field highly lucrative. However, Data Science professionals need to learn programming languages like Python for applying numerous statistical and mathematical models along with algorithms to discover meaningful insights and patterns hidden in large volumes of unstructured and structured data. Since Python is widely used in Data Science, Data professionals need to be familiar with the latest tech advancements for better data visualization and analysis. What's more interesting to note is that Goldman Sachs, a leading global investment banking and financial institution uses Python for data analysis and visualization.


3) Backed by Industry Titans

When a programming language is used by leading brands in the industry, it clearly indicates that the language holds great potential for development and also encourages SMBs to leverage the potential for the same. For instance, PHP is used by Facebook, and C# is used by Microsoft, while Python is backed by a slew of industry giants including Google, Uber, PayPal, Dropbox, Spotify, Netflix, Quora, Bloomberg, Red Hat, and to name a few. With every passing year, the list of Python corporate sponsors and supporters is growing at an unmatched pace.


4) Hundreds of Libraries and Frameworks Available

Another strong reason why Python is the future of programming is that comes with hundreds of libraries and frameworks that Python development services providers can employ to save both time and effort on the development cycle. Being an open-source language, Python allows developers to choose from a selection of free libraries and frameworks from PyTorch, Keras, Numpy, and TensorFlow to CherryPy, Django, Pyramid, Flask, and Growler. Furthermore, it offers task-specific libraries to get the work done faster, for instance, Pandas, SciPy, and NumPy are used for Scientific Computation and Data Analysis, while Scikit-learn, Keras, and Tensorflow are used for building Machine Learning and Deep Learning solutions.


5) Compatibility With Major Platforms and Operating Systems

Being an adaptable programming language, Python supports popular platforms and OS architectures. The code written in Python language can run seamlessly on all the major platforms and operating systems including Windows, Linux, macOS, etc. In other words, Python is a platform-independent programming language whose code is executed line-by-line, which makes the developers’ job simple since they can make changes in a program effortlessly and see the impact of the updates quickly.


6) Open Source With Growing Community

When using Python, users don’t need to purchase a license or pay a subscription fee, instead, they can download and use it for free. All necessary tools required for Python development, including support, modules, libraries, and frameworks are available for free. This open-source programming language offers plenty of documentation, guides, tutorials, and more that help newbies get started with ease. The best part of Python, which makes it stand out is that it is supported by a large and active community of experts.


A Few Words to Conclude

The demand for Python development has been rising globally. If you are also planning to invest in Python to make your business future-proof, it’s wise partnering with a professional Python development company. Hire seasoned professionals from a reliable tech partner for developing best-in-class business solutions.